Choosing an enrichment strategy before a run is booked: how target enrichment ngs by hybrid capture differs from an amplicon approach in uniformity, input requirement and turnaround, what ngs target enrichment and targeted enrichment generally cost in hands on time that a per sample price hides, when target enrichment next generation sequencing or plain target sequencing is the wrong tool and untargeted sequencing is cheaper, where an rrna depletion kit removes what a poly A selection would have missed, how a small rna sequencing service, small rna library prep and targeted rna sequencing each need their own library chemistry, and what an ngs sequencer, the ngs kits it runs and the next generation sequencing services quoting for both actually price separately
Enrichment decides what the sequencer sees, which makes it the most consequential choice in a targeted experiment and the one most often left to a kit default. Capture and amplicon approaches differ in uniformity, in how much input they need and in how they behave on degraded material, and depletion and selection answer different questions about RNA entirely.
- electronic records and signatures, the clause behind an analysis record
- Part 11
- good laboratory practice for nonclinical studies, 21 CFR
- Part 58
- the competence standard a testing laboratory is assessed against
- 17025
The figures in this panel are regulation and standard identifiers, named from the documents themselves and linked below. They are not prices: BioBricks publishes verified prices for synthesis services only, and does not imply a sequencing price index it has not measured.
- 4 vendor service pages verifiedevery figure matched verbatim to the vendor's page
- Quoted and dated, never estimatedlast verification pass 2026-08-24
- 1 service classes coveredeach with measured search demand behind it
Choosing the strategy
- Decide from input quality and quantity. Amplicon approaches tolerate low and degraded input and give deep coverage of small regions. Capture needs more and better material and gives more uniform coverage across larger target sets. The material you actually have usually settles this.
- Judge on uniformity, not on percentage on target. A high on target fraction with poor uniformity still leaves regions uncovered, and those regions are where the answer will be missing. Ask for coverage uniformity metrics from real samples rather than the headline enrichment figure.
- Choose RNA preparation by what you want to see. Poly A selection captures mature messenger transcripts and discards everything else. Ribosomal depletion keeps non coding and unpolyadenylated species and costs more. For degraded material, depletion is usually the only workable route.
- Treat small RNA as a separate chemistry. Short species need ligation based preparation, careful size selection and their own quality control. Running them through a standard preparation loses them, and normalising them against messenger references is not valid.
- Include the analysis in the design. Duplicate handling, molecular identifiers and the variant calling approach all interact with the enrichment method. Agree the pipeline before samples are prepared, because some analysis choices require design features added at the library stage.
Uniformity is where panels fail
A panel that covers ninety nine of its hundred regions well and one badly will produce a confident result everywhere except the region that mattered. Because summary metrics average across the panel, this is invisible unless per region coverage is examined.
Ask for per target coverage from the provider's own validation samples, and check the regions you care about specifically. It is the single most useful question in a panel evaluation.
The hidden cost is hands on time
Capture workflows involve long hybridisation steps and multiple clean ups, and the per sample reagent price says nothing about the technician hours. For laboratories running panels routinely, that time frequently exceeds the reagent cost.
This is where automation pays, and it is also why an apparently more expensive amplicon kit can be the cheaper choice in a small laboratory.
Common questions
- Capture or amplicon?
- Amplicon for small panels, low input and fast turnaround; capture for larger target sets and better uniformity. Degraded material pushes toward amplicon, and a need to detect structural variation pushes toward capture or untargeted sequencing.
- When does enrichment stop being worth it?
- When the target set grows large enough that untargeted sequencing at adequate depth costs about the same. That crossover moves as sequencing gets cheaper and is worth recalculating rather than assuming.
- Poly A selection or ribosomal depletion?
- Selection for intact material where mature transcripts are the question, depletion for degraded material or where non coding species matter. They are not interchangeable and comparing data across them is a confound.
- Do molecular identifiers matter?
- For detecting low frequency variants, yes, because they distinguish true events from amplification artefacts. For straightforward genotyping they add cost and complexity for little benefit.
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The median advertised gene synthesis price per base pair in the US research synthesis services market was $0.11 in August 2026, across 4 verified vendor service pages recorded in BioBricks Synthesis Price Index.
Cite as: "BioBricks Synthesis Price Index", updated 2026-08-24, https://biobricks.org/target-enrichment-ngs/.